海南师范大学学报（自然科学版）2024，Vol.37Issue(2)：135-143,9.DOI:10.12051/j.issn.1674-4942.2024.02.001
基于决策者偏好构造的概率语言型Z-number多属性决策方法
A Probabilistic Linguistic Z-number Multi-attribute Decision Making Method Based on Decision Maker Preference
摘要
Abstract
Due to the increasingly complex decision-making environment,expert evaluation information usually contains expert preferences,it is necessary to identify and process expert preferences.To solve this problem,a probabilistic linguis-tic Z-number based on decision maker′s preference is proposed and applied to multi-attribute decision making problems.Firstly,for the situation of unknown expert preference,a modified mean score distance based on expert evaluation informa-tion is proposed to determine expert preference.Then,according to the obtained expert preference,the GOWPA operator and maximum entropy are used to generate the probabilistic linguistic Z-number.At the same time,the credibility of the ex-pert evaluation information is obtained,the expert information is aggregated by the expert credibility,and the schemes are sorted by the TODIM method.Finally,under the background of vigorously advocating energy conservation and emission re-duction,the proposed method is applied to the selection of national green mine pilot enterprises to verify the effectiveness and feasibility of the proposed method.关键词
概率语言型Z-number/偏好/GOWPA算子/最大熵/多准则群决策Key words
probabilistic linguistic Z-number/preference/GOWPA operator/maximum entropy/multi-criterion group decision making分类
数理科学引用本文复制引用
王旭婷,毛军军,张新宇..基于决策者偏好构造的概率语言型Z-number多属性决策方法[J].海南师范大学学报（自然科学版）,2024,37(2):135-143,9.基金项目
国家自然科学基金项目(72171002) （72171002）
